Which of the following is an example of data capture in GIS?

Data capture in Geographic Information Systems (GIS) refers to the process of collecting and inputting information into a GIS database for analysis and mapping. Land records serve as a prime example of data capture in GIS as they involve the collection of spatial data that defines the boundaries, ownership, and characteristics of land parcels. This type of data is crucial for various applications, such as urban planning, property management, and environmental protection, allowing users to visualize and analyze land-related information.

Land records typically include both spatial data (such as maps and parcel boundaries) and attribute data (such as property ownership and zoning information). The digitization of these records allows them to be stored, analyzed, and updated within a GIS framework.

The other examples, while they contain valuable information, do not directly represent data capture in the GIS context. Historical records might provide context for what has occurred in the past but typically don’t constitute the spatial data that GIS focuses on. Personal data, unless specifically geocoded or related to a spatial location, is not inherently a GIS element. Weather patterns can be analyzed in GIS but are usually the result of data capture rather than a method of capturing geospatial data themselves.